Therefore, from Figs. REF  and REF , one can observe that each attractor dominates the other attractors with a high number of occurrences for large values of initial states. Therefore it is also of interest to investigate the probability of different attractors with respect to the coupling parameter \(\varepsilon \)[1]}, [2]}, [3]}. Figure  REF  shows the probability of various attractors for 500 uniformly distributed initial states of \(x_{1,2}\in \)  [-7, 7] for \(\alpha =0.01\)  and as a function of \(\varepsilon \) . From Fig. REF , one can easily uncover that the attractor H\(_1\)  predominantly occurs in the probability diagram with a high number of occurrences and shares the basin of attraction with other coexisting attractors for \(\varepsilon <2.356\) . After that, the S attractor dominates the basin to our calculated range of \(\varepsilon =3.0\)  and shares the parameter space with IH\(_4\) .
